Instructions to use radames/sdxl-turbo-DPO-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radames/sdxl-turbo-DPO-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("radames/sdxl-turbo-DPO-LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fa00f1fad7e390c6db0310833241db047905f0c4b87a0d7bea5d935888c8ce1f
- Size of remote file:
- 46.7 MB
- SHA256:
- 6b1dcbfb234d7b6000948b5b95ccebc8f903450ce2ba1b50bc3456987c9087ad
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